A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

Krzysztof Boguslawski, Jan Nasur, Jie Li, Mateusz Gil, Krzysztof Wrobel*, Floris Goerlandt

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Highly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situational awareness. The present study investigates the worldwide research effort focusing on situational awareness for autonomous transport and explores how the maritime domain could benefit from it. The results indicate that most of the research originates from the automotive sector, but the topic is developing fast in other transportation modes too. Some findings have been shared across the modes of transportation, but only to a limited extent. Although technology development is performed based on the achievements within basic research domains, there has been little feedback from applied sciences. Similarly, collaborative research is not strongly developed.

Original languageEnglish
Pages (from-to)50047-50061
Number of pages15
JournalIEEE Access
Volume10
DOIs
Publication statusPublished - 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Transportation
  • Bibliometrics
  • Safety
  • Market research
  • Autonomous vehicles
  • Indexes
  • Collaboration
  • Autonomous transportation
  • autonomous vehicles
  • safety of transportation
  • scientometrics
  • situation awareness
  • DRIVER TAKEOVER
  • TRENDS
  • AUTOMATION
  • SAFETY
  • TIME
  • PERFORMANCE
  • PATTERNS
  • NETWORK
  • IRONIES

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